Convolution of tight measures is tight Let $E$ be a Banach space (think of $E=\mathbb R^d$, if it's easier to understand the following for you), $(\mu_n)_{n\in\mathbb N}$ and $(\nu_n)_{n\in\mathbb N}$ be tight sequences of finite nonnegative measures on $\mathcal B(E)$.

I would like to conclude that the sequence $(\mu_n\ast\nu_n)_{n\in\mathbb N}$ of convolutions is tight as well.

Let $\varepsilon>0$. By the tightness assumption, there is a compact $K\subseteq E$ with $$\max\left(\sup_{n\in\mathbb N}\mu_n(K^c),\sup_{n\in\mathbb N}\nu_n(K^c)\right)<\varepsilon\tag1.$$
Now, $K+K$ is clearly compact and \begin{equation}\begin{split}(\mu_n\ast\nu_n)(K+K)&=(\mu_n\otimes\nu_n)(\{(x,y)\in E^2:x+y\in K+K\})\\&\ge(\mu_n\otimes\nu_n)(K\times K)=\mu_n(K)\nu_n(K)\end{split}\tag2\end{equation} for all $n\in\mathbb N$.

If I assume that $\mu_n,\nu_n$ are probability measures for all $n\in\mathbb N$, then $(2)$ yields $$(\mu_n\ast\nu_n)(K+K)\ge(1-\varepsilon)^2\tag3$$ and hence we obtain the claim.
But how can we show the claim in general?

 A: As I wrote in the comments, the claim is not true in general. To see this, let $\delta_x$ be the Dirac measure at $x$, meaning that $\delta_x(A) = 1$ if $x \in A$ and $\delta_x(A) = 0$ otherwise. Then define $\mu_n = n^{-1} \cdot \delta_n$ and $\nu_n = n \cdot \delta_0$.
Then choosing $K = \{0\}$, we see that $(\nu_n)_n$ is a tight sequence. Likewise, for each $N$, we can choose $K = \{1,\dots,N\}$ to get $\sup_n \mu_n(K^c) \leq 1/N$ for all $n \in \Bbb{N}$, showing that also $(\mu_n)_n$ is a tight sequence.
But $\mu_n \ast \nu_n = \delta_n$, which easily implies that $(\mu_n \ast \nu_n)_n$ is not a tight sequence.
Probably the answer is positive if one in addition assumes that $(|\mu_n|)_n, (|\nu_n|)_n$ are both uniformly bounded.

If one assumes the measures to be uniformly bounded, meaning that there is $C > 0$ with $\mu_n(E) \leq C$ and $\nu_n (E) \leq C$ for all $n$, then the claim is true.
To see this, simply note that what you already shows implies
\begin{align*}
(\mu_n \ast \nu_n)((K + K)^c)
& = (\mu_n \ast \nu_n)(E) - (\mu_n \ast \nu_n)(K + K) \\
& \leq \mu_n(E) \nu_n(E) - \mu_n(K) \nu_n(K) \\
& =    \mu_n(E) \cdot (\nu_n(E) - \nu_n(K)) + \nu_n(K) (\mu_n(E) - \mu_n(K)) \\
& \leq C \epsilon + C \epsilon .
\end{align*}
